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Evaluation of Machine Learning and Rules-Based Approaches for Predicting Antimicrobial Resistance Profiles in Gram-negative Bacilli from Whole Genome Sequence Data
The time-to-result for culture-based microorganism recovery and phenotypic antimicrobial susceptibility testing necessitates initial use of empiric (frequently broad-spectrum) antimicrobial therapy. If the empiric therapy is not optimal, this can lead to adverse patient outcomes and contribute to in...
Autores principales: | Pesesky, Mitchell W., Hussain, Tahir, Wallace, Meghan, Patel, Sanket, Andleeb, Saadia, Burnham, Carey-Ann D., Dantas, Gautam |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124574/ https://www.ncbi.nlm.nih.gov/pubmed/27965630 http://dx.doi.org/10.3389/fmicb.2016.01887 |
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